Another reason that Adjusted R Square is quoted more often is that when new input variables are added to the Regression analysis, Adjusted R Square increases only when the new input variable makes the Regression equation more accurate (improves the Regression equations’s ability to predict the output). Adjusted R Square is more conservative the R Square because it is always less than R Square. Ideally we would like to see this at least 0.6 (60%) or 0.7 (70%).Īdjusted R Square – This is quoted most often when explaining the accuracy of the regression equation. This number tells you how much of the output variable’s variance is explained by the input variables’ variance. R Square tells how well the regression line approximates the real data. R Square– This is the most important number of the output.
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